Monte Carlo Quasi-Heatbath by approximate inversion
Ph. de Forcrand
Abstract
When sampling the distribution P(phi) ~ exp(-|A phi|2), a global heatbath normally proceeds by solving the linear system A phi = eta, where eta is a normal Gaussian vector, exactly. This paper shows how to preserve the distribution P(phi) while solving the linear system with arbitrarily low accuracy. Generalizations are presented.
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